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Global Artificial Intelligence (AI) Industry – Yahoo Finance

The World is Moving Towards Truly Intelligent Machines & Systems. Artificial Intelligence to Reach $312.4 Billion
NEW YORK, Nov. 23, 2020 /PRNewswire/ —
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The global market for Artificial Intelligence (AI) is projected to reach US$312.4 billion by the year 2027, trailing a post COVID-19 CAGR of 32.7% over the analysis period 2020 through 2027. Globally, over 567 AI start-up companies received investments in the first five months of the year 2020. Use of AI in myriad fields has skyrocketed during the pandemic, with the unpreceded crisis driving desperate search for new tools to manage and survive the pandemic. AI is being used for early detection, diagnosis of the infection; development of drugs, vaccines; and for reducing workload of healthcare workers. Artificial intelligence (AI) has emerged as a powerful tool in the war against COVID-19. The predictive technology is being exploited by governments and other stakeholders to determine the way the COVID-19 virus is spreading, identify vulnerable people and finding mutation patterns. Various universities and institutions are deploying AI systems and expediting their finalization for tapping them as crucial tool for handling the pandemic. In addition, several local and national governments have announced dedicated teams for assessing AI-powered anti-COVID-19 projects. The rapid spread of the virus has expedited AI-based initiatives intended to track patients along with potentially affected individuals. While the approach requires localization data of citizens to assess their infection risk, it compromises the right to privacy and freedom. These initiatives also focus on detecting symptoms along with primary care for patients.
Questionnaires completed by people can be analyzed by AI systems to reduce the workload on healthcare system. The main approaches under the initiative include interactive voice response tools, chat bots for self-triage of patients, image-driven medical diagnosis, forecast of the virus’ impact on the basis of symptoms, and monitoring of transportation means and public areas for non-compliance to public rules. The technology is also used to hinder fake news and predict the spread of the pandemic over space and time. While AI tools are expected to play an important role during the pandemic, they may result in privacy issues, requiring authorities to come up with measures for mitigating these concerns. Machine learning (ML) algorithms and artificial intelligence (AI) have been in use in healthcare and clinical settings for years rendering support to various processes and procedures, and the ongoing novel coronavirus (COVID-19) pandemic has further stressed the importance of ML and AI technologies in healthcare sector. Both ML and AI are gaining traction in processes and procedures being implemented to combat and control COVID-19 pandemic. The World Health Organization (WHO) has already acknowledged the relevance of AI and big data in aiding healthcare professionals responding to the COVID-19 outbreak in China and other parts of the world. Data processing platforms, mobile apps, thermal cameras, and robotic equipment are some of the areas where AI-enabled technologies are gaining importance in COVID-19 programs.
AI is also helping companies carryout remote working, operations and management while simultaneously improving operational efficiency. Rapid improvements in AI technology are driving increased adoption of AI-based customer service systems. AI coupled with predictive analytics is set to help retailers identify buying trends and quickly launch automated campaigns that will inspire highly targeted customers to act. Most of the healthcare organizations are relying on AI-based software for their day-to-day tasks. These tasks vary from patient diagnosis to hospital data management. Since the amount of data generated by the healthcare industry is 44 trillion gigabytes per day, there emerges a need for AI-based advanced processors that can extract meaningful insights from this data. With COVID-19 becoming a global crisis, AI became the first line of defense in using it to keep track of virus transmission. In this unprecedented situation, AI helps to reduce the work of clinicians and medical attendants. Many banks have already adopted AI-based systems to provide customer support, detect anomalies and credit card frauds. AI solutions can be used to trace card usage and endpoint access to effectively prevent fraud and save millions of dollars. Organizations rely on AI to trace those steps by analyzing the behaviors of transactions. For instance, major companies such as MasterCard and RBS World Pay have relied on AI and Deep Learning to detect fraudulent transaction patterns and prevent card fraud for years. In the age of ultra-high-frequency trading, financial organizations are turning to AI to improve their stock trading performance and boost profit. Advances in the autonomous vehicle segment such as long-range radar, cameras, and LIDAR leverage AI to provide actionable insights.
Competitors identified in this market include, among others,
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AIBrain Inc.
Amazon Web Services, Inc.
Baidu Inc.
Cisco Systems Inc.
CloudMinds
eGain Corporation
Facebook Inc.
General Electric Company
Google Inc.
IBM Corp.
Intel Corporation
Micron Technology Inc.
Microsoft Corp.
Next IT Corporation
Nuance Communications Inc.
NVIDIA Corporation
Omron Adept Technologies Inc.
Oracle Corporation
Rockwell Automation Inc.
Salesforce.com
Samsung Electronics Co., Ltd.
SAP SE
SAS Institute Inc.
Siemens AG
Xilinx Inc.

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I. INTRODUCTION, METHODOLOGY & REPORT SCOPE I-1
II. EXECUTIVE SUMMARY II-1
1. MARKET OVERVIEW II-1 Impact of Covid-19 and a Looming Global Recession II-1 Artificial Intelligence Makes Significant Contribution in War against COVID-19 II-2 Machine Learning Benefits Healthcare Organizations II-3 Industrial and Commercial Applications Take a Hit as COVID-19 Evolves Into an Economic Crisis II-5 Exhibit 1: World Economic Growth Projections (Real GDP, annual % Change) for 2019, 2020 & 2021 II-7 Exhibit 2: Global PMI Index Points for the Years 2018, 2019 & 2020 II-8 Exhibit 3: Business Confidence Index (BCI) Points for 3Q 2019, 4Q 2019, 1Q 2020, & 2Q 2020 II-8 Artificial intelligence (AI): A Prelude II-9 Technologies Enabling AI II-9 Outlook II-11 Advances in Real World AI Applications Bolster Growth II-11 Inherent Advantages of AI Technology to Accelerate Adoption in Varied Applications II-12 AI-based Services Segment Captures Major Share of Global AI Market II-13 Developed Markets Dominate AI Market, Asia-Pacific to Spearhead Future Growth II-13 Deep Learning and Digital Assistant Technologies Present Significant Growth Potential II-14 Challenges Restraining AI Adoption II-15 Competition II-16 AI Marketplace Characterized by Intense Competition II-16 Exhibit 4: Global Artificial Intelligence Market by Leading Vendors for 2019 II-17 Growing Focus on AI by Leading Tech Companies with Huge Financial Resources II-17 Investors Flock to Fund AI Startups: An Indication to the High Potential of AI Technology II-18 Exhibit 5: Global AI Startup Funding (in US$ Million) for the Years 2014 through 2019 II-20 Exhibit 6: Number of AI Startups with $1 Billion Valuations for the Years 2014-2019 II-20 Exhibit 7: AI Cumulative Funding (in US$ Billion) by Category (As of 2019) II-21 AI Applications and Major Startups II-22 Select Companies Raising AI Investments in 2020 II-24 World Brands II-25 Recent Market Activity II-27
2. FOCUS ON SELECT PLAYERS II-30
3. MARKET TRENDS & DRIVERS II-34 AI-enabled Analysis and Forecasts Aid Organizations Make Profitable Decisions II-34 AI-Powered Biometric Security Solutions II-34 New and Improved Concepts in ML and AI take Stage II-34 IIoT & AI Convergence Brings in Improved Efficiencies II-35 Increasing Adoption of AI Technology to Boost AI Chipsets Market II-36 Combination of Robotics and AI Set to Cause Significant Disruption in Various Industries II-37 AI in Customer-Centric Operations Gain Momentum II-38 AI Innovations Widen Prospects II-38 Notable Trends in the Artificial Intelligence Market II-40 Big Data Trends to Shape Future of Artificial Intelligence II-43 AI Exudes Potential to Mitigate Adversities Amid COVID-19 II-45 AI in Retail Market: Multi-Channel Retailing and e-Commerce Favor Segment Growth II-46 AI for a Competitive Edge for Retail Organizations II-46 Online Retailers Eye on Artificial Intelligence to Boost Business in Post-COVID-19 Era II-47 AI & Analytics Help Retailers Survive Economic & Operational Implications of COVID-19 II-48 AI for Fashion Retail and Beauty II-48 AI for Grocery, Electronics, and Home & Furniture II-48 E-Commerce: A Sector with Tremendous Potential for AI Technology II-49 Financial Sector: AI and Machine Learning Offer Numerous Gains II-50 Fintech Deploys AI to Target Millennials II-53 AI in Media & Advertising: Targeting Customers with Right Marketing Content II-54 COVID-19 Impacts Advertising Industry, Affects AI Investments II-55 Exhibit 8: COVID-19 Impact on Global Ad Spending: March 2020 II-56 Possibilities Galore for AI in Digital Marketing II-57 Marketing Functions Where AI is Yet Impossible to Deploy II-57 AI-Enabled CRM Market: Promising Growth Opportunities in Store II-57 Artificial Intelligence to Transform Delivery of Healthcare Services II-58 Healthcare AI Market to Experience Remarkable Expansion II-59 Exhibit 9: Global Healthcare AI Market – Percentage Breakdown by Application for 2020 II-60 Exhibit 10: Worldwide Current & Required Healthcare Spending as % of GDP II-61 AI in Medical Diagnostics and Pharmaceutical Sectors II-61 COVID-19 Spurs New Developments and Expedites AI Adoption in Healthcare Industry II-62 Developments Impacting AI in Healthcare Domain II-62 Artificial Intelligence Holds Potential to Accelerate Detection & Treatment of COVID-19 II-62 Detecting Personalized Therapeutic Targets II-63 Rising Prevalence of Diabetes to Drive AI Adoption in Diabetes Management Market II-63 Exhibit 11: World Diabetes Prevalence (2000-2019) II-64 Barriers Restraining AI Adoption in Healthcare Sector II-65 Automotive AI Market: Need to Enhance Customer Experience and Increasing Focus on Autonomous Vehicles Propels Growth II-65 Exhibit 12: Automotive AI Market By Segment II-67 Slowdown in Automobile Production Hits AI Investments in Auto Sector II-67 Exhibit 13: Automobile Production % YoY Change Across Select Countries: 2020 Vs 2019 II-68 Exhibit 14: Reduction in Automotive Demand in 2020 (In Million Vehicles) II-69 Exhibit 15: World Automobile Production in Million Units: 2008 -2022 II-69 COVID-19 Outbreak to Speed up Digitalization & Automation in Automotive Sector II-70 Driverless Cars: The Ultimate Future of AI in Auto industry II-70 Automakers Focus on Integrating AI-Powered Driver Assist Features in Vehicles II-70 AI to Enhance Connectivity, Provide Infotainment and Enhance Safety in Vehicles II-71 AI for Smart Insurance Risk Assessment of Vehicles II-72 Artificial Intelligence to Transform and Redraw Manufacturing Landscape II-72 Slump in Manufacturing Industry Impacts AI Investments II-73 Exhibit 16: Global Industrial Output Growth (In %) Dec to May 2020 by Country II-74 Industrial IoT, Robotics and Big Data to Stimulate AI Implementations II-74 Exhibit 17: Global Investments on Industry 4.0 Technologies (in US$ Billion) for the Years 2017, 2020, & 2023 II-75 AI Moves from Factory Floor to Supply Chain and Beyond II-75 Machine Learning: Growing Role in Smart Manufacturing II-76 AI as a Service Market: Obviating the Need to Make Huge Initial Investments II-77 AI in Education Market to Exhibit Strong Growth II-78 Exhibit 18: Global Market for AI in Education Sector (2019): Percentage Breakdown of Revenues by End-Use – Higher Education and K-12 Sectors II-79 Focus on ITS, IAL and Chatbots Favors Market Growth II-80 Agriculture Sector: A Promising Market for AI Implementations II-80 AI Technologies Used in Agricultural Activities – A Review II-81 AI Poised to Create Smarter Agriculture Practices in Post- COVID-19 Period II-82 Food & Beverage Industry to Leverage AI Capabilities to Resolve Production Issues and Match Up to Customer Expectations II-84 AI Adoption Gains Acceptance in Modern Warfare Systems in the Defense Sector II-84 Energy & Utilities: Complex Landscape and High Risk of Malfunctions Enhances Need for AI-based Systems II-85 COVID-19 Raises Demand for AI Technologies in Oil & Gas Sector II-85 AI in Construction Sector: Need for Cost Reduction and Safety at Construction Sites Drive Focus onto the Use of AI-based Solutions II-86 AI Contributing in Sustaining Critical Infrastructure Amid COVID-19 II-87
4. GLOBAL MARKET PERSPECTIVE II-88 Table 1: World Current & Future Analysis for Artificial Intelligence (AI) by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-88
Table 2: World Historic Review for Artificial Intelligence (AI) by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-89
Table 3: World 12-Year Perspective for Artificial Intelligence (AI) by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2015, 2020 & 2027 II-90
Table 4: World Current & Future Analysis for Services by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-91
Table 5: World Historic Review for Services by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-92
Table 6: World 12-Year Perspective for Services by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-93
Table 7: World Current & Future Analysis for Software by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-94
Table 8: World Historic Review for Software by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-95
Table 9: World 12-Year Perspective for Software by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-96
Table 10: World Current & Future Analysis for Hardware by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-97
Table 11: World Historic Review for Hardware by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-98
Table 12: World 12-Year Perspective for Hardware by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-99
Table 13: World Current & Future Analysis for Computer Vision by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-100
Table 14: World Historic Review for Computer Vision by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-101
Table 15: World 12-Year Perspective for Computer Vision by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-102
Table 16: World Current & Future Analysis for Machine Learning by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-103
Table 17: World Historic Review for Machine Learning by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-104
Table 18: World 12-Year Perspective for Machine Learning by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-105
Table 19: World Current & Future Analysis for Context Aware Computing by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-106
Table 20: World Historic Review for Context Aware Computing by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-107
Table 21: World 12-Year Perspective for Context Aware Computing by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-108
Table 22: World Current & Future Analysis for Natural Language Processing by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-109
Table 23: World Historic Review for Natural Language Processing by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-110
Table 24: World 12-Year Perspective for Natural Language Processing by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-111
Table 25: World Current & Future Analysis for Advertising & Media by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-112
Table 26: World Historic Review for Advertising & Media by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-113
Table 27: World 12-Year Perspective for Advertising & Media by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-114
Table 28: World Current & Future Analysis for BFSI by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-115
Table 29: World Historic Review for BFSI by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-116
Table 30: World 12-Year Perspective for BFSI by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-117
Table 31: World Current & Future Analysis for Healthcare by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-118
Table 32: World Historic Review for Healthcare by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-119
Table 33: World 12-Year Perspective for Healthcare by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-120
Table 34: World Current & Future Analysis for Retail by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-121
Table 35: World Historic Review for Retail by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-122
Table 36: World 12-Year Perspective for Retail by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-123
Table 37: World Current & Future Analysis for Automotive & Transportation by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-124
Table 38: World Historic Review for Automotive & Transportation by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-125
Table 39: World 12-Year Perspective for Automotive & Transportation by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-126
Table 40: World Current & Future Analysis for Manufacturing by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-127
Table 41: World Historic Review for Manufacturing by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-128
Table 42: World 12-Year Perspective for Manufacturing by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-129
Table 43: World Current & Future Analysis for Agriculture by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-130
Table 44: World Historic Review for Agriculture by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-131
Table 45: World 12-Year Perspective for Agriculture by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-132
Table 46: World Current & Future Analysis for Other End-Uses by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2020 through 2027 II-133
Table 47: World Historic Review for Other End-Uses by Geographic Region – USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 II-134
Table 48: World 12-Year Perspective for Other End-Uses by Geographic Region – Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2020 & 2027 II-135
III. MARKET ANALYSIS III-1
GEOGRAPHIC MARKET ANALYSIS III-1
UNITED STATES III-1 Artificial Intelligence Market: An Overview III-1 Healthcare: A Promising Application Market for AI Technology III-1 Funding for AI Startups in the US Continues to Grow III-2 Exhibit 19: AI Funding in the US: VC Deal Value (in $ Billion) and Number of Deals in AI and ML Technologies for 2011 through Q1 2020 III-3 Exhibit 20: Leading Artificial Intelligence Startups by Total Equity Funding ($ Million) in the US (As of Q1 2020) III-4 Regulatory Support for AI III-4 Market Analytics III-5 Table 49: USA Current & Future Analysis for Artificial Intelligence (AI) by Component – Services, Software and Hardware – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-5
Table 50: USA Historic Review for Artificial Intelligence (AI) by Component – Services, Software and Hardware Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 III-6
Table 51: USA 12-Year Perspective for Artificial Intelligence (AI) by Component – Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2015, 2020 & 2027 III-7
Table 52: USA Current & Future Analysis for Artificial Intelligence (AI) by Technology – Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-8
Table 53: USA Historic Review for Artificial Intelligence (AI) by Technology – Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 III-9
Table 54: USA 12-Year Perspective for Artificial Intelligence (AI) by Technology – Percentage Breakdown of Value Sales for Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing for the Years 2015, 2020 & 2027 III-10
Table 55: USA Current & Future Analysis for Artificial Intelligence (AI) by End-Use – Advertising & Media, BFSI, Healthcare, Retail, Automotive & Transportation, Manufacturing, Agriculture and Other End-Uses – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-11
Table 56: USA Historic Review for Artificial Intelligence (AI) by End-Use – Advertising & Media, BFSI, Healthcare, Retail, Automotive & Transportation, Manufacturing, Agriculture and Other End-Uses Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 III-12
Table 57: USA 12-Year Perspective for Artificial Intelligence (AI) by End-Use – Percentage Breakdown of Value Sales for Advertising & Media, BFSI, Healthcare, Retail, Automotive & Transportation, Manufacturing, Agriculture and Other End-Uses for the Years 2015, 2020 & 2027 III-13
CANADA III-14 Market Overview III-14 Top-Tier Canadian Cities Primed for AI Growth III-14 Exhibit 21: Funding in Artificial Intelligence (AI) Companies (in US Million) in Canada for the Years 2014-2019 III-15 Market Analytics III-16 Table 58: Canada Current & Future Analysis for Artificial Intelligence (AI) by Component – Services, Software and Hardware – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-16
Table 59: Canada Historic Review for Artificial Intelligence (AI) by Component – Services, Software and Hardware Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 III-17
Table 60: Canada 12-Year Perspective for Artificial Intelligence (AI) by Component – Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2015, 2020 & 2027 III-18
Table 61: Canada Current & Future Analysis for Artificial Intelligence (AI) by Technology – Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-19
Table 62: Canada Historic Review for Artificial Intelligence (AI) by Technology – Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 III-20
Table 63: Canada 12-Year Perspective for Artificial Intelligence (AI) by Technology – Percentage Breakdown of Value Sales for Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing for the Years 2015, 2020 & 2027 III-21
Table 64: Canada Current & Future Analysis for Artificial Intelligence (AI) by End-Use – Advertising & Media, BFSI, Healthcare, Retail, Automotive & Transportation, Manufacturing, Agriculture and Other End-Uses – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-22
Table 65: Canada Historic Review for Artificial Intelligence (AI) by End-Use – Advertising & Media, BFSI, Healthcare, Retail, Automotive & Transportation, Manufacturing, Agriculture and Other End-Uses Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 III-23
Table 66: Canada 12-Year Perspective for Artificial Intelligence (AI) by End-Use – Percentage Breakdown of Value Sales for Advertising & Media, BFSI, Healthcare, Retail, Automotive & Transportation, Manufacturing, Agriculture and Other End-Uses for the Years 2015, 2020 & 2027 III-24
JAPAN III-25 Market Overview III-25 Market Analytics III-26 Table 67: Japan Current & Future Analysis for Artificial Intelligence (AI) by Component – Services, Software and Hardware – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-26
Table 68: Japan Historic Review for Artificial Intelligence (AI) by Component – Services, Software and Hardware Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 III-27
Table 69: Japan 12-Year Perspective for Artificial Intelligence (AI) by Component – Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2015, 2020 & 2027 III-28
Table 70: Japan Current & Future Analysis for Artificial Intelligence (AI) by Technology – Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-29
Table 71: Japan Historic Review for Artificial Intelligence (AI) by Technology – Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing Markets – Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2019 III-30
Table 72: Japan 12-Year Perspective for Artificial Intelligence (AI) by Technology – Percentage Breakdown of Value Sales for Computer Vision, Machine Learning, Context Aware Computing and Natural Language Processing for the Years 2015, 2020 & 2027 III-31
Table 73: Japan Current & Future Analysis for Artificial Intelligence (AI) by End-Use – Advertising & Media, BFSI, Healthcare, Retail, Automotive & Transportation, Manufacturing, Agriculture and Other End-Uses – Independent Analysis of Annual Sales in US$ Million for the Years 2020 through 2027 III-32
Table 74: Japan Historic Review for Artificial Intelligence
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